The impact of simulated future climate change on land degradation was assessed in three representative study sites of Thessaly, Greece, one of the country’s most important agronomic zones. Two possible scenarios were used for estimation of future climatic conditions, which were based on greenhouse gas emissions (RCP4.5 and RCP8.5). Three time periods were selected: the reference past period 1981–2000 for comparison, and the future periods 2041–2060 and 2081–2100. Based on soil characteristics, past and future climate conditions, type of land uses, and land management prevailing in the study area, the Environmentally Sensitive to desertification Areas (ESAs) were assessed for each period using the MEDALUS-ESAI index. Soil losses derived by water and tillage erosion were also assessed for the future periods using existing empirical equations. Furthermore, primary soil salinization risk was assessed using an algorithm of individual indicators related to the natural environment or socio-economic characteristics. The obtained data by both climatic scenarios predicted increases in mean maximum and mean minimum air temperature. Concerning annual precipitation, reductions are generally expected for the three study sites. Desertification risk in the future is expected to increase in comparison to the reference period. Soil losses are estimated to be more important in sloping areas, due especially to tillage erosion in at least one study site. Primary salinization risk is expected to be higher in one study site and in soils under poorly drainage conditions.

The article discusses the benefits of an integrated farm advisory program on sheep farms, focusing on improving their economic performance. The program involves a team of experts providing advice on animal nutrition and farm management, and conducting a thorough techno-economic analysis before and after recommendations. The economic impact is assessed using a partial budget tool. Results show increased yields, decreased production costs, and increased gross value added. The program requires a cohesive group of experts, trusting relationships between farmers and consultants, and funding. Implementing this program on a large scale can upgrade the relevant value chain.

This study examines key competencies in social organic farming (SOF) as perceived by stakeholders in Hungary, Greece, and Italy, including necessary knowledge, skills, and attitudes. It also explores the educational and professional requirements for those aiming to become social organic farmers, ultimately contributing to an ideal farmer profile. Through qualitative methods, such as semi-structured interviews with stakeholders, the study identifies essential competencies and training needs for SOF. Results show that successful social organic farmers must understand organic farming principles, social work, farm economics, and possess personal skills like empathy, team-work, and effective communication. These competencies and training align with Social Capital Theory, Diffusion of Innovation Theory, and Community-Based Participatory Research, under-scoring the importance of social networks, community engagement, and innovation in advancing sustainable and inclusive agricultural practices. The study also highlights SOF's role in supporting community well-being, enhancing sustainable food systems, and promoting both physical and mental health. Findings offer valuable insights into the limited literature on SOF, providing actionable recommendations for vocational training programs that support social organic farmers’ growth across Europe. This, in turn, fosters sustainable agriculture, circular economies, and public health, thereby strengthening community resilience and ecological stability.